A Dubai-based 11-year-old Indian girl, Leena Rafeeq, has become a star innovator after developing an application based on artificial intelligence (AI) that can detect eye diseases and other conditions with 70% accuracy.
Named "Ogler EyeScan," the mobile app can detect the ailment through a unique scanning method using an iPhone.
Rafeeq took to LinkedIn to share a post along with a video explaining how her innovation, which she developed at the age of 10, works.
Rafeeq says that her application scans the eyes and analyzes various parameters like light and color intensity, distance, and look-up points to locate the eyes within the range of the frame using "advanced computer vision and machine learning."
After the scan is taken appropriately, trained models are used to diagnose potential eye diseases or conditions like arcus, melanoma, pterygium, and cataracts.
It took Rafeeq six months of research and development to create this innovative app with the help of SwiftUI (user interface).
For this, the self-taught coder learned about different eye conditions, computer vision, algorithms, machine learning models, and advanced levels of Apple iOS development, including sensors data, AR, CreateML, CoreML, and more.
The Ogler EyeScan app, which is only supported on iPhone 10 and iOS 16 or above operating systems, is currently under review in the App Store.